Visualizing Situational Data
Applying Information Fusion for Detecting Social-Ecological Events
Bibliographic Data
| ID | 12170372 |
|---|---|
| Authors | Mark Altaweel (0000-0003-1807-3737, University of Chicago, corresponding author), Mark R Altaweel (Computation Institute, University of Chicago, 5640 S. Ellis Avenue, RI 405, Chicago, IL 60637, USA), Lillian N Alessa (Resilience and Adaptive Management Group, University of Alaska Anchorage, AK, USA), Andrew Kliskey (0000-0002-2146-2015, University of Alaska Anchorage), Andrew D Kliskey (Resilience and Adaptive Management Group, University of Alaska Anchorage, AK, USA) |
| Year | 2010 |
| Volume | 28 |
| Issue | 4 |
| Pages | 497-514 |
| Publication date | 2010-05-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0894439309360837 |
| OpenAlex | W2117677358 |
| Language | EN |
| Citations received | 6 |
| References cited | 23 |
As anthropogenic and environmental behaviors rapidly evolve many ecosystems and communities, managers of natural resources, scientists, and other stakeholders increasingly need tools that can rapidly alert them to emerging events that can affect social well-being. Data detailing such behaviors may derive from textual sources with varying content, requiring an approach to merge multiple media sources and create linked relationships between relevant event terms. In addition, applied methods need to provide both quantitative capacity and qualitative functionality, which can rapidly display emerging trends and potentially significant individual events. This article presents an information fusion approach for conducting text searches on web-based sources to provide managers and scientists with rapid search capabilities identifying potentially significant social—ecological events. Along with general analytical utility, a network approach that links associated terms is used to show semantic relationships between social—ecological terms at different timescales
Data science · Event (particle physics · Information retrieval · Merge (version control · Situation awareness · Situational ethics · Social media · World Wide Web · Complex Network Analysis Techniques · Complex Systems and Decision Making · Computer Science · Data Visualization and Analytics · Psychology
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| Citations per year | 0.38 |
|---|---|
| Citation span | 2010 - 2022 (13) |
| Highly cited | No |